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Peihan Tu's Projects

cct-siga20 icon cct-siga20

Continuous Curve Textures Project Page [SIGGRAPH Asia 2020]

cl1-hw icon cl1-hw

Homework assignments for Computational Linguistics I

clustered-vector-textures icon clustered-vector-textures

Implementation for the paper Clustered Vector Textures, TOG (SIGGRAPH 2022) by Peihan Tu, Li-Yi Wei, Matthias Zwicker

im2vec icon im2vec

[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

lightning-hydra-template icon lightning-hydra-template

PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡

sagnet icon sagnet

Structure-aware Generative Network

sharedpainter icon sharedpainter

cross platform multiuser network painting program using Qt, boost asio

splice icon splice

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)

streamlit-drawable-canvas icon streamlit-drawable-canvas

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

submitit icon submitit

Python 3.6+ toolbox for submitting jobs to Slurm

texturemixer icon texturemixer

The official Tensorflow implementation for CVPR'19 paper 'Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture'

transgan icon transgan

[Preprint] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

visualblocks icon visualblocks

Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.

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